• Web Traffic Time Series Forecasting- Obtained Multiple Important Features using provided single feature, Used Wikipedia API to fetch the article text & calculated tf-idf vectors for each article & wrote an algorithm to cluster the similar articles together using KNN and identified the topics for each cluster. At last used ARIMA & Prophet for forecasting traffic on web pages, evaluated the performance of time series models on validation datasets and visualize the model predictions.

• Credit Modeling- Trained Machine Learning model that can predict if the borrower will pay off the loan on time or not? performed Data Preprocessing, trained various ML classification algorithms & used K-Fold cross-validation to evaluate performance.